S. Yang
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
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- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
Papers in
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- Advanced Data Storage Technologies 2
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- Advanced Steganography and Watermarking Techniques 1
- Video Surveillance and Tracking Methods 1
- Digital Media Forensic Detection 1
- Co-authors
- Inkyu Park (2 shared papers)J. S. H. Lee (2 shared papers)I. J. Watson (2 shared papers)Hyuk-Jae Lee (2 shared papers)Seungwon Lee (1 shared paper)Young-Ho Kim (1 shared paper)Chilhee Chung (1 shared paper)Chae Eun Rhee (1 shared paper)
- Journals
- Pattern Analysis and Applications (1 paper)Journal of the Korean Physical Society (2 papers)
- Partner nations
- South KoreaFrance
In The Last Decade
S. Yang
6 papers receiving 31 citations
Peers
Comparison fields: 5 of 18
- Nuclear and High Energy Physics 13
- Computer Vision and Pattern Recognition 14
- Signal Processing 6
- Hardware and Architecture 3
- Human-Computer Interaction 1
Countries citing papers authored by S. Yang
This map shows the geographic impact of S. Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Yang more than expected).
Fields of papers citing papers by S. Yang
This network shows the impact of papers produced by S. Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Yang. The network helps show where S. Yang may publish in the future.
Co-authors
The 11 scholars most cited alongside S. Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 15 | |
| 2 | 2004 | 9 | |
| 3 | 2023 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2009 | 1 |
About S. Yang
S. Yang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics, Signal Processing and Artificial Intelligence, having authored 6 papers that have together received 33 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (2 papers), Advanced Data Storage Technologies (2 papers), High-Energy Particle Collisions Research (2 papers), Semiconductor materials and devices (1 paper), Advanced Steganography and Watermarking Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Digital Media Forensic Detection (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (13 citations), Computer Vision and Pattern Recognition (14 citations), Signal Processing (6 citations), Hardware and Architecture (3 citations) and Human-Computer Interaction (1 citation). S. Yang has collaborated with scholars based in South Korea and France. Frequent co-authors include Inkyu Park, J. S. H. Lee, I. J. Watson, Hyuk-Jae Lee, Seungwon Lee, Young-Ho Kim, Chilhee Chung, Chae Eun Rhee, Chang Min Jeon and Taehyung Park. Their work appears in journals such as Pattern Analysis and Applications and Journal of the Korean Physical Society.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.